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for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a profiler . Experience with GPUs is a
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renewable generation like solar and wind, flexible loads like heat pumps and electric vehicles, and distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency
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30.05.2023, Academic staff Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years. Involvement in
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(Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science. Requirements - Master’s degree in computer science with very
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remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in mathematics, computer
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will
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of the Institute of Automotive Engineering addresses topics related to electric mobility in three teams - from powertrain components such as the high-voltage battery to vehicle design and the integration of vehicles
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computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k Euro / year
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
• robotics and/or mechatronics • computer languages C, C++ and Python and interest to work in an interdisciplinary environment are desired. German language skills are necessary for this position. Our offer: We
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding